| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.179 | | leniency | 0.357 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1925 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 76.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1925 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulse" | | 1 | "measured" | | 2 | "trembled" | | 3 | "flickered" | | 4 | "weight" | | 5 | "stomach" | | 6 | "fluttered" | | 7 | "raced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 247 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 247 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 270 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1925 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 91 | | wordCount | 1830 | | uniqueNames | 16 | | maxNameDensity | 2.02 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Eva" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Eva | 29 | | Heartstone | 2 | | Rory | 37 | | Grove | 1 | | Cardiff | 3 | | Evan | 2 | | Golden | 1 | | Empress | 1 | | Scandinavian | 1 | | Ro | 2 | | Brendan | 1 | | Carter | 1 | | One | 3 | | Roots | 3 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Brendan" | | 4 | "Carter" | | 5 | "One" | | 6 | "Roots" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "Scandinavian" |
| | globalScore | 0.489 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 125 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1925 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 270 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 158 | | mean | 12.18 | | std | 15.11 | | cv | 1.24 | | sampleLengths | | 0 | 13 | | 1 | 13 | | 2 | 53 | | 3 | 9 | | 4 | 55 | | 5 | 3 | | 6 | 14 | | 7 | 8 | | 8 | 3 | | 9 | 1 | | 10 | 11 | | 11 | 1 | | 12 | 4 | | 13 | 53 | | 14 | 6 | | 15 | 2 | | 16 | 6 | | 17 | 36 | | 18 | 1 | | 19 | 2 | | 20 | 52 | | 21 | 6 | | 22 | 49 | | 23 | 21 | | 24 | 15 | | 25 | 4 | | 26 | 5 | | 27 | 7 | | 28 | 1 | | 29 | 2 | | 30 | 1 | | 31 | 37 | | 32 | 3 | | 33 | 6 | | 34 | 4 | | 35 | 1 | | 36 | 7 | | 37 | 4 | | 38 | 27 | | 39 | 2 | | 40 | 71 | | 41 | 44 | | 42 | 5 | | 43 | 3 | | 44 | 21 | | 45 | 3 | | 46 | 15 | | 47 | 60 | | 48 | 2 | | 49 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 247 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 306 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 270 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1840 | | adjectiveStacks | 2 | | stackExamples | | 0 | "together beneath naked branches." | | 1 | "melting over rotten fruit." |
| | adverbCount | 55 | | adverbRatio | 0.029891304347826088 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0038043478260869567 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 270 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 270 | | mean | 7.13 | | std | 5.4 | | cv | 0.758 | | sampleLengths | | 0 | 13 | | 1 | 13 | | 2 | 13 | | 3 | 18 | | 4 | 22 | | 5 | 2 | | 6 | 2 | | 7 | 5 | | 8 | 13 | | 9 | 9 | | 10 | 4 | | 11 | 3 | | 12 | 26 | | 13 | 3 | | 14 | 14 | | 15 | 8 | | 16 | 3 | | 17 | 1 | | 18 | 11 | | 19 | 1 | | 20 | 4 | | 21 | 10 | | 22 | 14 | | 23 | 11 | | 24 | 18 | | 25 | 6 | | 26 | 2 | | 27 | 6 | | 28 | 3 | | 29 | 7 | | 30 | 20 | | 31 | 6 | | 32 | 1 | | 33 | 2 | | 34 | 8 | | 35 | 11 | | 36 | 14 | | 37 | 19 | | 38 | 6 | | 39 | 10 | | 40 | 23 | | 41 | 7 | | 42 | 2 | | 43 | 7 | | 44 | 21 | | 45 | 15 | | 46 | 4 | | 47 | 5 | | 48 | 7 | | 49 | 1 |
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| 46.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.2740740740740741 | | totalSentences | 270 | | uniqueOpeners | 74 | |
| 62.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 215 | | matches | | 0 | "Only the blank, smooth suggestion" | | 1 | "Then Eva screamed." | | 2 | "Light, red and raw, poured" | | 3 | "Then a hand slapped against" |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 215 | | matches | | 0 | "Their pale faces made a" | | 1 | "I FOUND THE WAY BACK." | | 2 | "Her breath caught in the" | | 3 | "They hung there." | | 4 | "She placed two fingers over" | | 5 | "They covered the clearing in" | | 6 | "Their scent sat too sweet" | | 7 | "She stepped towards the nearest" | | 8 | "They rose from the soil" | | 9 | "She did not laugh now." | | 10 | "She swept the beam across" | | 11 | "She checked her phone." | | 12 | "Her torch battery showed eighty-two" | | 13 | "She had come because Eva" | | 14 | "You did not leave someone" | | 15 | "It had opened takeaway cartons," | | 16 | "It did not feel designed" | | 17 | "She crossed between the stones." | | 18 | "Their trunks had grown wider" | | 19 | "Their stems bent as one," |
| | ratio | 0.237 | |
| 48.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 177 | | totalSentences | 215 | | matches | | 0 | "Aurora shoved through the bracken" | | 1 | "The fabric tore with a" | | 2 | "Their pale faces made a" | | 3 | "I FOUND THE WAY BACK." | | 4 | "Rory read the message again" | | 5 | "Eva’s name sat at the" | | 6 | "Nothing but that demand and" | | 7 | "Her breath caught in the" | | 8 | "The words had not faded" | | 9 | "They hung there." | | 10 | "A faint second voice repeated" | | 11 | "Rory lowered the phone." | | 12 | "The pulse of the Heartstone" | | 13 | "The deep crimson gem had" | | 14 | "She placed two fingers over" | | 15 | "The darkness beyond the stones" | | 16 | "A crooked distortion crossed the" | | 17 | "Rory swung her torch towards" | | 18 | "They covered the clearing in" | | 19 | "Bluebells, foxgloves, buttercups, red campion," |
| | ratio | 0.823 | |
| 23.26% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 215 | | matches | | | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 3 | | matches | | 0 | "Their pale faces made a rough circle around the place Eva had described in a text that had arrived an hour earlier." | | 1 | "A crooked distortion crossed the narrow gap between two slabs, as if someone had dragged black cloth through black water." | | 2 | "The standing stones ringed her at a greater distance than before, impossibly far apart, as if the small circle had unfolded into a field." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 42.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "Rory snapped (snap)" |
| | dialogueSentences | 28 | | tagDensity | 0.179 | | leniency | 0.357 | | rawRatio | 0.6 | | effectiveRatio | 0.214 | |